closed-loop-delivery
Use when a coding task must be completed against explicit acceptance criteria with minimal user re-intervention across implementation, review feedback, deployment, and runtime verification.
newProject & Program ManagementOperations & Supply ChainAI & Automation
Closed-Loop Delivery
Overview
Treat each task as incomplete until acceptance criteria are verified in evidence, not until code is merely changed.
Core rule: deliver against DoD (Definition of Done), not against code diff size.
When to Use
Use this skill when:
- user gives a coding/fix task and expects end-to-end completion
- task spans code + tests + PR comments + dev deploy + runtime checks
- repeated manual prompts like "now test", "now deploy", "now re-check PR" should be avoided
Do not use this skill for:
- pure Q&A/explanations
- prod deploy requests without explicit human approval
- tasks blocked by missing secrets/account access that cannot be inferred
Required Inputs
Before execution, define these once:
- task goal
- acceptance criteria (DoD)
- target environment (
devby default) - max iteration rounds (default
2)
If acceptance criteria are missing, request them once. If user does not provide, propose a concrete default and proceed.
Issue Gate Dependency
Before execution, prefer using create-issue-gate.
- If issue status is
readyand execution gate isallowed, continue. - If issue status is
draft, do not execute implementation/deploy/review loops. - Require user-provided, testable acceptance criteria before starting execution.
Default Workflow
- Define DoD
- Convert request into testable criteria.
- Example: chec
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-03-12 |
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